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Study of soil macrofauna in relation with some of selected soil physio- chemical properties at sumayar-nagar in district Hunza-Nagar Gilgit-Baltistan, Pakistan

Soil is one of the most essential and diverse natural habitat of biodiversity on earth. Soil organisms (biota) carry out a wide range of processes that are important for soil health and fertility in both natural and managed agricultural soils. Total number of organisms, diversity of species and the activity of the soil biota will fluctuate as the soil environment changes. The present preliminary study aims to investigate the abundance, diversity and community composition of Macrofauna in agricultural soils in Nagar-Sumayar in Hunza-Nagar district of Gilgit-Baltistan. Beside soil Macrofauna some of the selected physio-chemical properties of the soil were also investigated. For sampling the entire Sumayar-Nagar is divided into 9 clusters and total 54 soil pits were dug out with Quadrate size (25*25*15cm) and Macrofauna was picked and preserved in 4% formalin. Soil temperature was determined using Temperature probe, air humidity by humidity probe, and moisture determined by Gravimetric method. A total of 718 soil Macrofauna were recorded from 14 orders, the most abundant taxa was Diptera comprising of (59%). Other major orders were Coleoptera (15%), Chilopoda (4.5%) Aranea (3%), Potworms (3%), Hemiptera (2.7%) Hymenoptera (2.7%) Oligochaeta (2%), unidentified Macrofauna (2.9%), Lepidoptera, Acari, Orthroptera and Homoptera (1%) respectively. pH of the soil varies from 7.7 to 8, soil temperature from 10-22oC and soil moisture from 14-20% in different clusters or areas of Nagar- Sumayar. Pearson’s correlation indicated that pH was positively correlated (p<0.01) with Diptera larva while soil temperature with Diptera adult. Soil moisture was positively correlated with Lepidoptera and Aphidae and negatively correlated (p<0.01) with Orthroptera. Macrofauna abundance was positively correlated with soil pH. One way ANOVA showed that there were no significant differences of soil Macrofauna abundance among the various clusters. Highest soil quality was attributed to Daltho area and lowest was Yal area as determined by Macrofauna abundance. Further research need to be done with more intensive sampling to investigate the influence of seasons and other soil management practices on soil Macrofauna abundance and diversity.

Soil is one of the most essential and diverse natural habitat of biodiversity on earth. Soil organisms (biota) carry out a wide range of processes that are important for soil health and fertility in both natural and managed agricultural soils. Total number of organisms, diversity of species and the activity of the soil biota will fluctuate as the soil environment changes. The present preliminary study aims to investigate the abundance, diversity and community composition of Macrofauna in agricultural soils in Nagar-Sumayar in Hunza-Nagar district of Gilgit-Baltistan. Beside soil Macrofauna some of the selected physio-chemical properties of the soil were also investigated. For sampling the entire Sumayar-Nagar is divided into 9 clusters and total 54 soil pits were dug out with Quadrate size (25*25*15cm) and Macrofauna was picked and preserved in 4% formalin. Soil temperature was determined using Temperature probe, air humidity by humidity probe, and moisture determined by Gravimetric method. A total of 718 soil Macrofauna were recorded from 14 orders, the most abundant taxa was Diptera comprising of (59%). Other major orders were Coleoptera (15%), Chilopoda (4.5%) Aranea (3%), Potworms (3%), Hemiptera (2.7%) Hymenoptera (2.7%) Oligochaeta (2%), unidentified Macrofauna (2.9%), Lepidoptera, Acari, Orthroptera and Homoptera (1%) respectively. pH of the soil varies from 7.7 to 8, soil temperature from 10-22oC and soil moisture from 14-20% in different clusters or areas of Nagar- Sumayar. Pearson’s correlation indicated that pH was positively correlated (p<0.01) with Diptera larva while soil temperature with Diptera adult. Soil moisture was positively correlated with Lepidoptera and Aphidae and negatively correlated (p<0.01) with Orthroptera. Macrofauna abundance was positively correlated with soil pH. One way ANOVA showed that there were no significant differences of soil Macrofauna abundance among the various clusters. Highest soil quality was attributed to Daltho area and lowest was Yal area as determined by Macrofauna abundance. Further research need to be done with more intensive sampling to investigate the influence of seasons and other soil management practices on soil Macrofauna abundance and diversity.

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J. Bio. & Env. Sci. 2014<br />

Introduction<br />

Soil is the essential n<strong>at</strong>ural means for bionetwork and<br />

biosphere route. Soil and sediments are helpful <strong>in</strong><br />

regul<strong>at</strong>ion <strong>of</strong> ecosystem (Freckman, 1996).<br />

Macr<strong>of</strong>auna are those species hav<strong>in</strong>g the size above 2<br />

mm (Thomas et al., 1993; Swift and Anderson, 1993)<br />

helps <strong>in</strong> mix<strong>in</strong>g <strong>of</strong> organic m<strong>at</strong>ters and changes the<br />

<strong>chemical</strong> and physical st<strong>at</strong>e <strong>of</strong> <strong>soil</strong>. Soil <strong>in</strong>vertebr<strong>at</strong>es<br />

are affected or flourished by human activities (Lavelle<br />

et al., 1994). Ants, termites, and aranea are directly<br />

affected by agriculture (M<strong>at</strong>hieu et al., 2005). The<br />

<strong>in</strong>habitants <strong>of</strong> macr<strong>of</strong>auna were exagger<strong>at</strong>ed by a<br />

variety <strong>of</strong> n<strong>at</strong>ure <strong>of</strong> residue breakdown and plant<br />

residue (Tian et al., 1993). In moder<strong>at</strong>e and humid<br />

ecosystem macro <strong>in</strong>vertebr<strong>at</strong>es are predicted as<br />

significant regul<strong>at</strong>or (Lavelle et al., 2006; Jenk<strong>in</strong>son<br />

and Ladd, 1981). Soil fertility enhance when these<br />

fauna makes their associ<strong>at</strong>ion <strong>with</strong> fungi or<br />

decomposers (Lavelle et al., 1997). Beside <strong>with</strong> the<br />

<strong>soil</strong> organisms, earthworms act<strong>in</strong>g key role <strong>in</strong><br />

<strong>chemical</strong> and physical <strong>in</strong>dependence <strong>of</strong> <strong>soil</strong> (A<strong>in</strong>a,<br />

1984; Edwards and Bohlen, 1996; Abdul Rida and<br />

bouché, 1997). Beetles and other species are favoured<br />

by clim<strong>at</strong>ic conditions (Coulson et al., 1999;<br />

Wichmann and Ravn, 2001; Eriksson et al., 2005;<br />

Gilbert et al., 2005). The movement <strong>of</strong> nutrients is<br />

due to oligoche<strong>at</strong>es (Anderson et al., 1983). Beare et<br />

al., (1997) st<strong>at</strong>ed th<strong>at</strong> due to cont<strong>in</strong>uous cultiv<strong>at</strong>ion <strong>of</strong><br />

same crop and applic<strong>at</strong>ion <strong>of</strong> nutrients changes the<br />

soli fauna.<br />

<strong>in</strong> summer is 15-20 0 C while <strong>in</strong> w<strong>in</strong>ter it is -5 to -10 0 C.<br />

Sampl<strong>in</strong>g was carried out <strong>in</strong> October 2011.<br />

Agriculture <strong>soil</strong> was sampled. Whole Sumayar-<strong>Nagar</strong><br />

was divided <strong>in</strong>to 9 areas. Then further each area was<br />

divided <strong>in</strong>to 6 clusters. For macr<strong>of</strong>aunal sampl<strong>in</strong>g<br />

total 54 <strong>soil</strong> pits were dug out. The characteriz<strong>at</strong>ion<br />

and identific<strong>at</strong>ion <strong>of</strong> macro fauna are totally<br />

depend<strong>in</strong>g on their body size describe by Blair et al.,<br />

1996 and Anderson and Ingram <strong>in</strong> 1993.75% alcohol<br />

and 4% formal<strong>in</strong> is used for preserv<strong>at</strong>ion <strong>of</strong><br />

organisms, took them <strong>in</strong> lab for identific<strong>at</strong>ion only <strong>at</strong><br />

order level. Organisms were identified and calcul<strong>at</strong>ed<br />

their abundance. For macr<strong>of</strong>auna sampl<strong>in</strong>g we have<br />

used quadr<strong>at</strong>e size 25*25cm and dugout till 15cm<br />

depth. Carefully dugout <strong>soil</strong> till depth <strong>of</strong> 15cm <strong>with</strong><br />

the help <strong>of</strong> troval and spade and spread the <strong>soil</strong> <strong>in</strong> the<br />

tray and handpicked all the visible macr<strong>of</strong>auna and<br />

preserved them <strong>in</strong> 75% alcohol and 4% formal<strong>in</strong> (for<br />

earthworm). For determ<strong>in</strong><strong>at</strong>ion <strong>of</strong> <strong>soil</strong> moisture 5<br />

grams <strong>of</strong> <strong>soil</strong> were taken and kept <strong>in</strong> plastic bag. Extra<br />

set <strong>of</strong> <strong>soil</strong> samples were also taken to labor<strong>at</strong>ory for<br />

determ<strong>in</strong><strong>at</strong>ion <strong>of</strong> <strong>soil</strong> pH. Gravimetric method was<br />

used for determ<strong>in</strong>ed <strong>of</strong> <strong>soil</strong> moisture by dry<strong>in</strong>g <strong>soil</strong><br />

samples <strong>at</strong> 105°C for 24 hours. Soil moisture content<br />

was calcul<strong>at</strong>ed as follows:<br />

Moisture content % = (weight <strong>of</strong> moist <strong>soil</strong>-weight <strong>of</strong><br />

oven dried <strong>soil</strong>) / (weight <strong>of</strong> oven dried <strong>in</strong><br />

grams)*100.<br />

The aims and objectives <strong>of</strong> the study are to <strong>in</strong>vestig<strong>at</strong>e<br />

the abundance, variety or diversity and community<br />

composition <strong>of</strong> macr<strong>of</strong>auna <strong>in</strong> agricultural <strong>soil</strong>s <strong>in</strong><br />

<strong>Nagar</strong>-Sumayar <strong>in</strong> <strong>Hunza</strong>-<strong>Nagar</strong> <strong>district</strong> <strong>of</strong> <strong>Gilgit</strong>-<br />

<strong>Baltistan</strong>. Beside <strong>soil</strong> macr<strong>of</strong>auna <strong>some</strong> <strong>of</strong> the <strong>selected</strong><br />

physico-<strong>chemical</strong> <strong>properties</strong> <strong>of</strong> the <strong>soil</strong> were also<br />

<strong>in</strong>vestig<strong>at</strong>ed.<br />

M<strong>at</strong>erials and methods<br />

Description <strong>of</strong> study site<br />

Whole study was carried <strong>at</strong> Sumayar <strong>Nagar</strong>; <strong>district</strong><br />

<strong>Hunza</strong>-<strong>Nagar</strong>, <strong>Gilgit</strong> <strong>Baltistan</strong>. Elev<strong>at</strong>ion <strong>of</strong> Sumayar-<br />

<strong>Nagar</strong> valley is approx 2251m. Maximum temper<strong>at</strong>ure<br />

Before analysis pH, <strong>soil</strong> samples were air dried and<br />

sieved it us<strong>in</strong>g 2mm sieve. Soil pH was measured<br />

us<strong>in</strong>g pH probe <strong>with</strong> glass-calomel electrode and 1:1<br />

<strong>soil</strong>: w<strong>at</strong>er r<strong>at</strong>io (Mc Lean., 1982). GPS was used to<br />

determ<strong>in</strong>e the elev<strong>at</strong>ion <strong>of</strong> the area and clusters. D<strong>at</strong>a<br />

was analyzed by us<strong>in</strong>g SPSS-16.0 and MS Excel<br />

s<strong>of</strong>tware. One way ANOVA was performed to<br />

determ<strong>in</strong>e the significance difference <strong>of</strong> <strong>soil</strong><br />

macr<strong>of</strong>auna abundance among various clusters.<br />

Pearson’s cor<strong>rel<strong>at</strong>ion</strong> was applied to determ<strong>in</strong>e the<br />

<strong>rel<strong>at</strong>ion</strong>ship among various <strong>in</strong>vestig<strong>at</strong>ed parameter.<br />

125 | Begum et al.

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